Examining the role of artificial intelligence in asset servicing — today and tomorrow

Today, the signs are everywhere: artificial intelligence (AI) is already reshaping asset servicing. It is driving innovations across the entire value chain, but as a service provider to the asset management and banking industries, it is also easy to be left behind, or even worse, be agnostic to these transformations. Tomorrow, AI’s transformative potential across predictive AI, generative AI (GenAI) and agentic workflows will be the keys to market share. Most service providers are not equipped with the right approach to fully accelerate adoption and improve chances of success. This paper examines both the current and future roles of AI in asset servicing, highlighting challenges in adoption, as well as providing best practices for integration into business operations. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Authors

Publication Details

Journal
Journal of securities operations & custody
Published
2025-12-07
DOI
https://doi.org/10.69554/yntu7732
Primary Topic
FinTech, Crowdfunding, Digital Finance
Type
article
Field-Weighted Citation Impact
0.00
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article

Examining the role of artificial intelligence in asset servicing — today and tomorrow

Allan Song, John Ho
Journal of securities operations & custody
FinTech, Crowdfunding, Digital Finance
article

Examining the role of artificial intelligence in asset servicing — today and tomorrow

Allan Song, John Ho
article en

Abstract

Today, the signs are everywhere: artificial intelligence (AI) is already reshaping asset servicing. It is driving innovations across the entire value chain, but as a service provider to the asset management and banking industries, it is also easy to be left behind, or even worse, be agnostic to these transformations. Tomorrow, AI’s transformative potential across predictive AI, generative AI (GenAI) and agentic workflows will be the keys to market share. Most service providers are not equipped with the right approach to fully accelerate adoption and improve chances of success. This paper examines both the current and future roles of AI in asset servicing, highlighting challenges in adoption, as well as providing best practices for integration into business operations. This article is also included in The Business & Management Collection which can be accessed at https://hstalks.com/business/.

Journal of securities operations & custodyVol. 18(1)
Openalex Percentile: Top 44%
FinTech, Crowdfunding, Digital Finance
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